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), with a start date from the 01st January 2027. You should hold a PhD in Computer Science, with expertise in Natural Language Processing, and have a demonstrated track record of research
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). The researcher should have a PhD/DPhil in robotics, computer vision, machine learning or a closely related field. You have an excellent academic track record in topics relevant to robot perception. A specific
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, Statistics, Computer Science or conjugate subject and have a strong record of publication in the relevant literature. Good knowledge of machine learning algorithms is essential, as well as proven competence in
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-scale, diverse datasets using machine learning and AI techniques. Findings will be disseminated through peer-reviewed publications, conference presentations, and public engagement. About You You will hold
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modelling, and machine learning approaches to analyse large-scale datasets, including bulk and single-cell sequencing, gene expression arrays, proteomics, and metabolomics. Working closely with senior
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Researcher in The School of Chemistry. The InTeleCat project involves the use of machine learning and AI as applied to organic synthesis. It is a large collaborative project involving researchers in the US
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computational and machine learning approaches. What We Offer As an employer, we genuinely care about our employees’ wellbeing and this is reflected in the range of benefits that we offer including
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candidates with expertise in areas such as: Construction Informatics Digital Engineering BIM and Digital Twins Artificial Intelligence and Machine Learning Automation and Intelligent Systems Smart
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shortly) a PhD in Immunology, or other relevant discipline in Biomedical Sciences, and a BSc (hons) in a relevant Biological Science. Extensive and up-to-date theoretical and practical knowledge in
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and experiences. You should demonstrate: Essential Criteria: Hold (or expect to hold shortly) a PhD in Immunology, or other relevant discipline in Biomedical Sciences, and a BSc (hons) in a relevant